Dr. Phuong Nguyen-Thanh | Engineering | Best Researcher Award

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Dr. Phuong Nguyen-Thanh | Engineering | Best Researcher Award

Dr. Phuong Nguyen-Thanh, National Kaohsiung University of Science and Technology, Taiwan

Phuong Nguyen Thanh is a dedicated Postdoctoral Researcher at the Energy Technology Research Center (ETRIC) in the Department of Electrical Engineering at the National Kaohsiung University of Science and Technology. Born on April 14, 1988, in Vietnam, he has developed a strong academic and professional background in electrical engineering and energy systems. His core skills encompass independent research, teaching various subjects in English, and programming in multiple languages, including JavaScript and MATLAB. With a passion for renewable energy integration, Phuong aims to contribute significantly to advancements in power systems. He is fluent in Vietnamese and English and has basic proficiency in Chinese. His professional journey reflects a commitment to fostering knowledge and innovation in the field of electrical engineering.

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Summary of Suitability for the Research for Best Researcher Award

Phuong Nguyen Thanh’s expertise in Electrical Engineering and Energy Technology positions him as a highly suitable candidate for the Research for Best Researcher Award. His background as a Postdoc Researcher at the Energy Technology Research Center (ETRIC), combined with his significant teaching experience at Nha Trang University, demonstrates a strong blend of academic knowledge and practical research ability. His PhD from National Kaohsiung University of Science and Technology further emphasizes his dedication to advancing energy systems, a critical area in modern research.

 🎓 Education 

Phuong Nguyen Thanh earned his Doctor of Philosophy in Electrical Engineering from the National Kaohsiung University of Science and Technology in 2022, where he focused on integrating artificial intelligence and deep learning algorithms in power systems. Before that, he completed his Master’s degree in Electronic and Computer Engineering at RMIT Vietnam in November 2014, a branch of the renowned Royal Melbourne Institute of Technology in Australia. His academic foundation includes a Bachelor’s degree in Electrical Engineering from the University of Vietnam Technology, where he specialized in Energy Systems, graduating in December 2010. Phuong’s strong educational background equips him with the theoretical knowledge and practical skills essential for addressing complex challenges in energy technology, paving the way for his impactful research in renewable energy and smart systems.

 💼 Experience

Phuong Nguyen Thanh has a rich professional experience in academia and research. He is currently a Postdoctoral Researcher at the Energy Technology Research Center (ETRIC), National Kaohsiung University of Science and Technology, where he applies AI and deep learning algorithms to enhance power systems since September 2022. Prior to this role, he served as a full-time lecturer at Nha Trang University, Vietnam, from 2010 to January 2019, where he taught courses on Power Systems, Power Dispatching Strategies, and Programming on Microcontrollers. His teaching methods emphasized practical applications and hands-on learning, fostering a deep understanding of electrical engineering among his students. Phuong has demonstrated his commitment to education and research by developing various applications for smartphones on Android and iOS platforms, as well as engaging in independent research projects that focus on renewable energy solutions and smart grid technologies.

🏅 Awards and Honors 

Phuong Nguyen Thanh has received several accolades for his contributions to the field of electrical engineering and renewable energy. His academic excellence was recognized with a scholarship for his Ph.D. studies at the National Kaohsiung University of Science and Technology, underscoring his commitment to advancing knowledge in energy technology. During his Master’s program at RMIT Vietnam, he was awarded a merit scholarship for outstanding performance in his coursework. Phuong has also been acknowledged for his innovative research projects, which have been presented at various national and international conferences. His dedication to teaching has earned him positive evaluations from students and faculty alike, reflecting his effective communication skills and passion for educating the next generation of engineers. Phuong’s continued pursuit of research excellence is expected to yield further recognition as he contributes to significant advancements in renewable energy integration and smart systems.

 🌍 Research Focus 

Phuong Nguyen Thanh’s research focus lies in the integration of renewable energy technologies and the application of artificial intelligence (AI) in power systems. His recent work involves exploring deep learning algorithms to enhance the efficiency and reliability of energy distribution networks. Phuong is particularly interested in developing smart grid solutions that can adapt to dynamic energy demands while optimizing the use of renewable sources such as solar and wind power. He aims to create innovative algorithms for energy management systems that can facilitate the seamless integration of distributed energy resources. Additionally, Phuong’s research investigates the implementation of microcontroller programming in energy systems to improve automation and control. Through his work at the Energy Technology Research Center (ETRIC), he seeks to address the challenges of renewable energy integration and contribute to the development of sustainable energy solutions for the future.

 📖 Publication Top Notes

  • Hourly load prediction based feature selection scheme and hybrid CNN-LSTM method for building’s smart solar microgrid
  • A cloud 15kV-HDPE insulator leakage current classification based improved particle swarm optimization and LSTM-CNN deep learning approach
  • Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm
  • Real-time AIoT anomaly detection for industrial diesel generator based an efficient deep learning CNN-LSTM in industry 4.0
  • Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm

Mr. Md. Kawsar Ahmed | Engineering | Best Researcher Award

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Mr. Md. Kawsar Ahmed | Engineering | Best Researcher Award

Mr. Md. Kawsar Ahmed, Daffodil International University, Bangladesh

Md. Kawsar Ahmed is an innovative electrical engineer from Bangladesh, specializing in antenna design, 5G/6G technology, and wireless communication. He completed his B.Sc. in Electrical and Electronics Engineering at Daffodil International University (DIU) with a CGPA of 3.50, showcasing a passion for advanced technologies and modern communication systems. His expertise has led him to work on groundbreaking research projects under esteemed international mentors at Universiti Teknologi PETRONAS, Malaysia. Md. Kawsar’s focus on millimeter-wave applications for next-gen communication systems reflects his visionary mindset in the ever-evolving tech landscape. With strong leadership in event management and extracurricular activities, including his role as Secretary of the DIU Voluntary Service Club, Kawsar demonstrates a commitment to both his academic and social responsibilities. His career objective is to apply his skills and creativity in modern technology, pushing the boundaries of electrical engineering for a more connected future.

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Summary of Suitability for the ‘Research for Best Researcher Award’

Md Kawsar Ahmed demonstrates a well-rounded profile of academic excellence, research potential, and extracurricular involvement. His research contributions in antenna design and wireless communication, coupled with his technical skills, leadership, and international collaborations, make him a suitable candidate for the ‘Research for Best Researcher Award.’ His growing body of work and dedication to technological advancements in 5G and 6G demonstrate significant potential for future contributions to the field.

 🎓Education 

Md. Kawsar Ahmed has a solid educational foundation in Electrical and Electronics Engineering. He graduated with a B.Sc. from Daffodil International University, Dhaka, Bangladesh, earning a CGPA of 3.50 out of 4, from 2020 to 2023. Prior to that, he completed his Higher Secondary Certificate (HSC) from Agricultural University College, Mymensingh, in the Science stream with a CGPA of 3.78 out of 5, in 2019. He also holds a Secondary School Certificate (SSC) from Pacchim Jaynagor Secondary School, Bhola, Barisal, securing a CGPA of 4.82 out of 5 in 2017. Kawsar’s education has been focused on science and technology from the beginning, paving the way for his success in antenna design, wireless communication, and innovative research. His drive for academic excellence has equipped him with practical and theoretical knowledge essential for addressing complex engineering challenges in today’s technology-driven world.

 💼 Experience 

Md. Kawsar Ahmed’s experience is centered on research and academic involvement in the field of electrical engineering. He began as a Student Associate at Daffodil Central Transport Management in 2022, continuing his journey as a Researcher under the mentorship of Dr. Md. Ashraful and Dr. Samir Salem Al-Bawri from Universiti Teknologi PETRONAS, Malaysia, in early 2023. His work focuses on advanced research in antenna design for 5G/6G applications and artificial neural network (ANN)-based performance estimations. His collaboration with renowned researchers has strengthened his expertise in designing highly efficient multi-port antennas for next-gen communications. Additionally, he contributed as a Student Associate in the Office of the Director of Students’ Affairs at DIU from 2022 to 2024. His commitment to both technical research and administrative work demonstrates his versatility and dedication to achieving excellence in his professional career.

 🏅Awards and Honors 

Md. Kawsar Ahmed has received numerous awards and honors that reflect his diverse talents and contributions. He participated in the 7th National Cub Camporee (2011) and the ICT Work Camp (2018) organized by Bangladesh Scouts, demonstrating his early leadership qualities. He has been part of the “International Astronomical Search Collaboration” project by NASA (2021), showcasing his academic prowess in science. Kawsar’s technical training includes the Industrial Training by BREB and a specialized Unique Automation Training. He also played key organizational roles at Daffodil International University, including events such as the Duke of Edinburgh International Award Conference, Parents’ Day, and International Mother Language Day. His participation in disaster response exercises and field training further highlights his diverse skill set. Through these achievements, Kawsar has proven his ability to excel not only in academics but also in extracurricular activities, event management, and community involvement.

 🌍 Research Focus 

Md. Kawsar Ahmed’s research focus revolves around the development of advanced antenna designs for next-generation communication technologies, including 5G and 6G millimeter-wave applications. His work includes performance estimation of slotted inverted F-shaped tri-band antennas for satellite and 5G/mm-wave communications using artificial neural networks (ANN). His research addresses the growing demand for compact and efficient multi-port MIMO antennas, which are crucial for high-frequency communication systems. By leveraging machine learning techniques, he aims to improve the directivity prediction of these systems, enhancing overall performance in real-world applications. His research extends to optimizing antenna structures for various applications in wireless communication, pushing the boundaries of innovation in this rapidly evolving field. Kawsar’s contributions to the field are not only academically significant but also have the potential to make practical impacts in telecommunications, helping industries transition to more advanced and efficient communication technologies.

📖 Publications Top Notes

ANN-based performance estimation of a slotted inverted F-shaped tri-band antenna for satellite/mm-wave 5G application
  • Citations: 1

Dr. Rômulo Carleial | Zoology | Best Researcher Award

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Dr. Rômulo Carleial | Zoology | Best Researcher Award

Dr. Rômulo Carleial, Royal Botanic Gardens, Kew, United Kingdom

Rômulo Carleial is an evolutionary biologist based at the Royal Botanic Gardens, Kew, UK. His research spans sexual selection, conservation genetics, and the evolutionary dynamics of phenotypic plasticity. He has a strong academic foundation, having studied in renowned institutions like the University of Oxford and Yale University. Rômulo’s work explores the interplay between genetics and adaptation, contributing to critical conservation efforts. His commitment to science education is evident through his teaching roles in the UK and Brazil. He is passionate about understanding the evolutionary mechanisms that shape biodiversity, aiming to solve ecological challenges.

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Summary of Suitability for the Research for Best Researcher Award:

Rômulo Carleial demonstrates an exceptional profile for the Research for Best Researcher Award. His research spans multiple critical areas, including evolutionary biology, conservation, and genetics, with a focus on sexual selection, genetic plasticity, and conservation biology. His reflective statement highlights a deep engagement with contemporary scientific questions, such as the philosophical implications of the Extended Evolutionary Synthesis, showing thought leadership in evolutionary theory.

🎓 Education

Rômulo Carleial has a rich educational background, beginning with his B.S. in Biology from the Federal University of Minas Gerais, Brazil. He further pursued his academic journey with an MSc in Ecology and Wildlife Management, where he developed his expertise in evolutionary biology. His DPhil in Zoology from the University of Oxford deepened his understanding of genetics and sexual selection. Additionally, Rômulo gained valuable experience as a visiting researcher at Yale University and Florida International University, honing his skills in evolutionary and conservation science, contributing to his global scientific perspective.

💼 Experience

Rômulo Carleial’s experience is diverse and impactful, with a PDRA position at the Royal Botanic Gardens, Kew, UK, focusing on conservation genetics. He has served as a tutor at Oxford University, delivering lectures and conducting practical demonstrations. His international teaching experiences include delivering courses in Brazil and the UK, alongside fieldwork supporting biodiversity conservation. Rômulo’s work extends to community outreach, organizing science events and talks to promote evolutionary biology education. His scientific collaborations have led to numerous international presentations, further cementing his reputation in evolutionary and conservation sciences.

🏅Awards and Honors

Rômulo Carleial has received numerous prestigious awards. In 2022, he co-authored a DEFRA grant that secured £438,704 to investigate the genetic basis of AOD. He was also a recipient of CNPq DPhil and MSc international scholarships, which funded his advanced research at Oxford University. These scholarships, along with CAPES Science Without Borders funding, supported his studies and international collaborations. His ability to secure competitive grants and scholarships highlights his research excellence and commitment to advancing evolutionary biology and conservation.

🌍 Research Focus

Rômulo Carleial’s research focuses on the intersection of evolutionary biology, conservation, and genetics. His earlier work examined sexual selection and sexual dichromatism, while his current interests lie in understanding how genetics and phenotypic plasticity contribute to adaptive traits in organisms. His research on the genetic basis of plant resistance to pathogens, particularly in oak trees, aims to protect ecosystems from climate change and disease. He is also exploring the philosophical implications of the Extended Evolutionary Synthesis, focusing on organismal agency in evolution and its conservation biology impact.

 📖 Publications Top Notes

Circadian patterns in male sexual behaviour and female resistance in a polygynandrous bird
A first draft genome of holm oak (Quercus ilex subsp. ballota), the most representative species of the Mediterranean forest and the Spanish agrosylvopastoral ecosystem “dehesa”
Disentangling the causes of temporal variation in the opportunity for sexual selection
Temporal dynamics of competitive fertilization in social groups of red junglefowl (Gallus gallus) shed new light on avian sperm competition
Dynamic phenotypic correlates of social status and mating effort in male and female red junglefowl, Gallus gallus

Dr. Roohollah Shirani Faradonbeh | Mining Engineering | Best Researcher Award

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Dr. Roohollah Shirani Faradonbeh | Mining Engineering | Best Researcher Award

Dr. Roohollah Shirani Faradonbeh, Curtin University, Australia

Dr. Roohollah Shirani Faradonbeh is an accomplished mining engineer with expertise in intelligent mining, mine electrification, and sustainable resource management. Currently, he serves as an Assistant Professor at Curtin University’s WA School of Mines, where he contributes to innovative research in digital mining technologies and advanced rock mechanics. With a PhD in Mining Engineering from the University of Adelaide, his research focuses on AI-driven predictive models for rockburst risk assessment in underground mines. Dr. Shirani has published extensively on topics like mine tailings recovery, blasting optimization, and sustainable mining practices.

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Summary of Suitability for the “Research for Best Researcher Award” – Roohollah Shirani Faradonbeh

Dr. Roohollah Shirani Faradonbeh has an outstanding academic background and extensive experience in the field of mining engineering, making him a highly suitable candidate for the Research for Best Researcher Award. His research focuses on critical areas such as rockburst phenomena in deep underground mining, which has significant implications for safety and operations in the mining industry. His development of AI-based models and novel testing methodologies, as demonstrated in his doctoral work, has opened new frontiers in intelligent mining, especially in predicting and mitigating rockburst risks.

 🎓Education

Dr. Shirani holds a PhD in Mining Engineering from the University of Adelaide, where his thesis explored AI-based models for predicting and controlling rockburst phenomena in deep underground mines. His MSc in Mining Engineering from Tarbiat Modares University focused on minimizing blast-induced ground vibrations using gene expression programming. During his BSc at the University of Kashan, he investigated methods for reducing the back-break phenomenon in Iran’s Sungun Copper Mine. His educational journey highlights his expertise in predictive modeling, experimental mechanics, and sustainable mining practices.

 💼 Experience

Dr. Shirani has held multiple academic and industry roles, including his current position as Assistant Professor at Curtin University’s WA School of Mines. He has served as an industry advisor for Fortescue Metals Group and was a research and teaching assistant at the University of Adelaide. His teaching portfolio covers advanced topics like rock excavation technology, mine automation, and slope engineering. In addition to academic contributions, Dr. Shirani has supervised numerous PhD and M.Phil. students in fields such as autonomous mining systems, rockburst early warning tools, and environmental impact assessments for deep-sea mining.

 🏅Awards and Honors

Throughout his career, Dr. Shirani has received recognition for his contributions to mining engineering and research excellence. He has been honored with multiple academic awards for his innovative work in intelligent mining systems and AI-driven rockburst models. His research on blasting operations and ground vibration prediction has garnered attention from industry and academia alike. Additionally, Dr. Shirani has played a key role in international mining conferences, where his contributions to sustainable mining and resource recovery have been highly regarded by peers and industry professionals.

🌍 Research Focus

Dr. Shirani’s research centers on cutting-edge mining technologies, focusing on areas like mine digitalization, autonomous systems, and AI-based predictive models. He is particularly interested in the electrification and decarbonization of mining operations, as well as sustainable mine rehabilitation and waste management. His work in the experimental analysis of rockburst behavior and mine tailings recovery has paved the way for advancements in mining safety and efficiency. He also explores alternative mining methods, such as deep-sea mining and asteroid mining, reflecting his forward-thinking approach to resource extraction.

 📖 Publications Top Notes

Forecasting blast-induced ground vibration developing a CART model
Cited by: 172
Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction
Cited by: 171
Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
Cited by: 164
Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting
Cited by: 153
Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques
Cited by: 147

Assoc. Prof. Dr. Somayeh Labafi | management | Women Researcher Award

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Assoc. Prof. Dr. Somayeh Labafi | management | Women Researcher Award

Assoc. Prof. Dr. Somayeh Labafi, Iranian Research institute for information science and technology, Iran

Dr. Somayeh Labafi is an associate professor at the Iranian Research Institute for Information Science and Technology (IranDoc), specializing in media management and policy analysis. With a strong background in both mathematics and media studies, she focuses on the intersection of technology, communication, and policy frameworks. Her academic journey began with a Bachelor’s degree in Mathematics from the University of Esfahan, followed by a Master’s and PhD in Media Management from the University of Tehran. Dr. Labafi has authored several books and research articles exploring the impact of digital platforms, media entrepreneurship, and data protection policies. She is a recognized thought leader in the field, contributing to both academic discussions and policy-making processes in Iran. Her work extends to analyzing social media dynamics and the implications of media regulations on society.

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Suitability of Somayeh Labafi for the Research for Women Researcher Award

Summary: Dr. Somayeh Labafi is a distinguished academic and researcher, currently an Associate Professor at the Iranian Research Institute for Information Science and Technology (IranDoc). She has an extensive educational background, holding a PhD in Media Management from the University of Tehran, after earning her Master’s in the same field and a Bachelor’s in Mathematics. Her interdisciplinary expertise in media management and policy, coupled with her focus on data protection and digital media, makes her a leading researcher in her domain.

 🎓 Education 

Dr. Somayeh Labafi’s educational path demonstrates her multidisciplinary expertise in both quantitative and social sciences. She earned her Bachelor of Science in Mathematics from the University of Esfahan, a foundation that sharpened her analytical skills. Pursuing her passion for media and communication, she obtained a Master’s degree in Media Management from the University of Tehran. Her commitment to furthering her knowledge led her to pursue a Ph.D. in Media Management, also from the University of Tehran. Throughout her academic journey, Dr. Labafi explored complex interactions between media, technology, and society, equipping her with the skills to analyze the policy frameworks surrounding data protection, media entrepreneurship, and digital communication. Her education has been instrumental in shaping her research focus on policy-making in media and technology sectors, positioning her as a thought leader in both academic and policy circles.

 💼 Experience 

Dr. Somayeh Labafi currently holds the position of associate professor at the Iranian Research Institute for Information Science and Technology (IranDoc). With over a decade of experience, she has made significant contributions to media management and policy research. Her career spans a variety of roles, from a lecturer to a research leader, where she focuses on the impact of digital technologies on media regulation and innovation. Dr. Labafi has collaborated with various institutions and international researchers to explore pressing issues in data protection, social media, and public communication. She has authored numerous chapters in internationally recognized books, addressing the intricacies of media richness, policy frameworks, and knowledge-sharing behavior in organizations. Her expertise is frequently sought in policy-making discussions, particularly those involving media regulations and the protection of digital rights, making her a vital figure in shaping Iran’s evolving media landscape.

🏅Awards and Honors 

Dr. Somayeh Labafi has received numerous accolades for her pioneering research in media management and digital policy. She has been honored for her contributions to the academic community through her extensive research on media entrepreneurship, policy-making, and data protection. Notably, she was recognized for her groundbreaking chapter contributions to prominent international books such as “5G, Cybersecurity, and Privacy in Developing Countries” and “Contemporary Application of Actor-Network Theory.” Her work has garnered attention from both academic and policy-making bodies, establishing her as an expert in the field of media regulations. Dr. Labafi has also been invited to speak at international conferences and workshops, where her insights into media policy have influenced discussions on social media governance and network neutrality. Her accolades reflect her dedication to advancing knowledge and shaping policy in media management, with an emphasis on digital transformation in developing countries.

🌍 Research Focus 

Dr. Somayeh Labafi’s research is centered on media management, digital policy-making, and the socio-technological implications of media platforms. Her work explores the intersection of media innovation, regulation, and entrepreneurship, with a focus on how digital platforms shape public communication and data protection policies. She has extensively researched topics such as network neutrality, media richness, and the role of social media in shaping public behaviors and policy. Her recent projects delve into the implications of media management in the era of digital transformation, with a particular emphasis on the challenges and opportunities posed by emerging technologies like 5G and Web 3.0. Dr. Labafi employs methodologies such as Actor-Network Theory and ethnographic studies to analyze media dynamics and their impact on policy frameworks. Her research aims to provide insights for both academic and policy-making communities, particularly in developing countries.

📖 Publications Top notes 

Knowledge hiding as an obstacle of innovation in organizations: A qualitative study of the software industry
  • Cited by: 103
Effects of social media on the environmental protection behaviour of the public (Case study: Protecting Zayandeh-rood river environment)
  • Cited by: 38
An introduction to competitiveness in a fast-changing business environment
  • Cited by: 36
Contemporary applications of actor-network theory
  • Cited by: 26
Media Entrepreneurship and Web 3.0: The way passed, the way forward
  • Cited by: 21*